from scipy.stats import norm
from scipy.stats import describe
from matplotlib import pyplot as plt
import random as rd
import pandas as pd
import numpy as np

plt.hist(norm.rvs(size=1000))
plt.show()
x=np.linspace(norm.ppf(0.01),norm.ppd(0.99),1000)
plt.plot(x,norm.pdf(x))
plt.show()
print(describe(x))
norm.pdf(rd.uniform(0,10))
norm.cdf(rd.randrange(9))
norm.sf(rd.random())
norm.isf(rd.random())
df=pd.DataFrame([[1,2],[3,4]])
norm.stats(df)
norm.moment(rd.random())
